Infectious Disease

Hidden challenges in evaluating spillover risk of zoonotic viruses using machine learning models.

BACKGROUND: Machine learning models have been deployed to assess the zoonotic spillover risk of viruses by identifying their potential for human infectivity. However, the lack of comprehensive datasets for viral infectivity poses a major challenge, limiting the predictable range of viruses.

Forecasting malaria cases using climate variability in Sierra Leone.

BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA) have traditionally been employed for disease forecasting, Artificial Neural Networks (ANNs) have gained attention for capturing complex temporal patt...

Combatting with β-Lactam Antibiotics: A Revived Weapon?

is a significant threat to public health as an aggressive, opportunistic pathogen. The use of β-lactam antibiotics such as penicillins, cephalosporin...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequently stemming from chronic liver conditions, such a...

Sub-phenotypes of pneumonia defined by pulmonary histopathological features.

Establishing sub-phenotypes of pneumonia based on distinct host processes will be a step towards using host-directed therapies (to complement microbe-...

Antifungal activity and mechanism of novel peptide antimicrobial peptide (GmAMP) against fluconazole-resistant .

BACKGROUND: There is a pressing need to create innovative alternative treatment approaches considering the overuse of antifungal drugs causes the numb...

Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models.

Stroke-associated pneumonia (SAP) is a serious complication of acute ischemic stroke (AIS), significantly affecting patient prognosis and increasing h...

Application of temperature replica exchange molecular dynamics: Structure of mitotic spindle-associated protein SHE1 and its binding to dynein.

Cytoskeletal motor protein dynein belongs to the AAA+ superfamily of enzymes, functioning as a mechanochemical ATPase that converts chemical energy in...

Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach.

AIM: This study aimed to determine the important features and cut-off values after demonstrating the detectability of cirrhosis using routine laborato...

Risk tools for predicting long-term sequelae based on symptom profiles after known and undetected SARS-CoV-2 infections in the population.

The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 infections and to generate tools for risk and diagnos...

Integrative Metabolomic and Lipidomic Signatures of SARS-CoV-2 VOCs: Correlations with Hematological and Biochemical Markers.

In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterations associated with different SAR-CoV-2 variants ...

Diagnosis of early idiopathic pulmonary fibrosis: current status and future perspective.

The standard approach to diagnosing idiopathic pulmonary fibrosis (IPF) includes identifying the usual interstitial pneumonia (UIP) pattern via high r...

An integrated multiscale computational framework deciphers SARS-CoV-2 resistance to sotrovimab.

The emergence of resistance mutations in the SARS-CoV-2 spike (S) protein presents a challenge for monoclonal antibody treatments like sotrovimab. Und...

Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR).

(Quantitative) structure-activity relationships ((Q)SARs) are widely used in chemical safety assessment to predict toxicological effects. Many thousan...

Multiobjective learning and design of bacteriophage specificity.

To better understand and design proteins, it is crucial to consider the multifunctional landscapes on which all proteins exist. Proteins are often opt...

Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis.

OBJECTIVE: The aim of our study was to establish and validate a machine learning-based predictive model for mortality risk in elderly patients with se...

Identification and Experimental Validation of Biomarkers Associated With Mitochondria and Macrophage Polarization in Sepsis.

Sepsis is a common and serious condition, where mitochondria and macrophage polarization play a crucial role. Therefore, this study aimed to identify...

Investigation of the Significance of Blood Signatures on Sepsis-Induced Acute Lung Injury in Sepsis Within 24 Hours.

Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction. As a time-sensitive condition, sepsis requires pr...

Development and validation of a nomogram for differentiating immune checkpoint inhibitor-related pneumonitis from pneumonia in patients undergoing immunochemotherapy: a multicenter, real-world, retrospective study.

BACKGROUND: Immune Checkpoint Inhibitor-related Pneumonitis (CIP) exhibits high morbidity and mortality rates in the real world, often coexisting with...

Ventricular volume adjustment of brain regions depicts brain changes associated with HIV infection and aging better than intracranial volume adjustment.

INTRODUCTION: While the adjustment of intracranial volume (ICV) is reported to have a significant influence in the outcomes of the analyses of brain s...